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09/12/2023
Exploring the Benefits of Differentially Private Pre-training and Parameter-Efficient Fine-tuning for Table Transformers
For machine learning with tabular data, Table Transformer (TabTransforme...
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04/20/2023
DPAF: Image Synthesis via Differentially Private Aggregation in Forward Phase
Differentially private synthetic data is a promising alternative for sen...
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03/22/2023
Exploring the Benefits of Visual Prompting in Differential Privacy
Visual Prompting (VP) is an emerging and powerful technique that allows ...
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11/02/2022
Certified Robustness of Quantum Classifiers against Adversarial Examples through Quantum Noise
Recently, quantum classifiers have been known to be vulnerable to advers...
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11/19/2021
Meta Adversarial Perturbations
A plethora of attack methods have been proposed to generate adversarial ...
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10/26/2021
CAFE: Catastrophic Data Leakage in Vertical Federated Learning
Recent studies show that private training data can be leaked through the...
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09/04/2021
Real-World Adversarial Examples involving Makeup Application
Deep neural networks have developed rapidly and have achieved outstandin...
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04/05/2021
Perceptual Indistinguishability-Net (PI-Net): Facial Image Obfuscation with Manipulable Semantics
With the growing use of camera devices, the industry has many image data...
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03/03/2021
Formalizing Generalization and Robustness of Neural Networks to Weight Perturbations
Studying the sensitivity of weight perturbation in neural networks and i...
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03/02/2021
Adversarial Examples for Unsupervised Machine Learning Models
Adversarial examples causing evasive predictions are widely used to eval...
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02/23/2021
Non-Singular Adversarial Robustness of Neural Networks
Adversarial robustness has become an emerging challenge for neural netwo...
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09/29/2020
DPCrowd: Privacy-preserving and Communication-efficient Decentralized Statistical Estimation for Real-time Crowd-sourced Data
In Internet of Things (IoT) driven smart-world systems, real-time crowd-...
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01/03/2020
Privacy in Data Service Composition
In modern information systems different information features, about the ...
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12/21/2019
Detecting Deepfake-Forged Contents with Separable Convolutional Neural Network and Image Segmentation
Recent advances in AI technology have made the forgery of digital images...
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05/27/2019
Locally Differentially Private Minimum Finding
We investigate a problem of finding the minimum, in which each user has ...
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09/24/2018
On The Utility of Conditional Generation Based Mutual Information for Characterizing Adversarial Subspaces
Recent studies have found that deep learning systems are vulnerable to a...
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04/14/2018
On the Limitation of MagNet Defense against L_1-based Adversarial Examples
In recent years, defending adversarial perturbations to natural examples...
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03/26/2018
On the Limitation of Local Intrinsic Dimensionality for Characterizing the Subspaces of Adversarial Examples
Understanding and characterizing the subspaces of adversarial examples a...
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10/15/2017
